Zobrazeno 1 - 10
of 6 941
pro vyhledávání: '"Pileggi A"'
Simulation is vital for engineering disciplines, as it enables the prediction and design of physical systems. However, the computational challenges inherent to large-scale simulations often arise from complex device models featuring high degrees of n
Externí odkaz:
http://arxiv.org/abs/2410.17103
Federated learning harnesses the power of distributed optimization to train a unified machine learning model across separate clients. However, heterogeneous data distributions and computational workloads can lead to inconsistent updates and limit mod
Externí odkaz:
http://arxiv.org/abs/2410.09933
Second-order optimization methods exhibit fast convergence to critical points, however, in nonconvex optimization, these methods often require restrictive step-sizes to ensure a monotonically decreasing objective function. In the presence of highly n
Externí odkaz:
http://arxiv.org/abs/2410.08033
Autor:
Guthaus, M., Batten, C., Brunvand, E., Gaillardon, P. E., harris, D., Manohar, R., Mazumder, P., Pileggi, L., Stine, J.
As the pace of progress that has followed Moore's law continues to diminish, it is critical that the US support Integrated Circuit (IC or chip) education and research to maintain technological innovation. Furthermore, US economic independence, securi
Externí odkaz:
http://arxiv.org/abs/2311.02055
Autor:
Fiscko, Carmel, Agarwal, Aayushya, Ruan, Yihan, Kar, Soummya, Pileggi, Larry, Sinopoli, Bruno
We present a stochastic first-order optimization method specialized for deep neural networks (DNNs), ECCO-DNN. This method models the optimization variable trajectory as a dynamical system and develops a discretization algorithm that adaptively selec
Externí odkaz:
http://arxiv.org/abs/2310.13901
Data integration is considered a classic research field and a pressing need within the information science community. Ontologies play a critical role in such a process by providing well-consolidated support to link and semantically integrate datasets
Externí odkaz:
http://arxiv.org/abs/2310.11723
Autor:
Marco Ulises Martinez-Martinez, Carolina Ayelen Isnardi, Deshiré Alpizar-Rodriguez, Guillermo Javier Pons-Estel, Belén María Virasoro, María Agustina Alfaro, Ingrid Petkovic, Rosana Quintana, Guillermo Berbotto, María Jezabel Haye Salinas, Sofía Ornella, Mariana Pera, Iris Jazmín Colunga-Pedraza, Fedra Irazoque-Palazuelos, Greta Reyes-Cordero, Tatiana S Rodriguez-Reyna, Jose Antonio Veloz-Aranda, Cassandra Michele Skinner-Taylor, Ingrid Maribel Juárez-Mora, Luis H. Silveira, Claudia Diniz Lopes Marques, Ricardo Machado Xavier, Adriana Maria Kakehasi, Ana Paula Gomides, Edgard Torres dos Reis-Neto, Gecilmara Salviato Pileggi, Gilda Aparecida Ferreira, Licia Maria Henrique da Mota, Marcelo Medeiros Pinheiro, Débora Cerqueira Calderaro
Publikováno v:
Advances in Rheumatology, Vol 64, Iss 1, Pp 1-15 (2024)
Abstract Background SARS-CoV-2 infection has become a major international issue, not only from a medical point of view, but also social, economic and political. Most of the available information comes from the United States, Europe, and China, where
Externí odkaz:
https://doaj.org/article/978b6721984942ed9ddd5c2ad48886fd
Autor:
Lorgio Victor Bautista Samaniego, Samuel Luis Scandelau, Caroline Rosa Silva, Sebastião Pratavieira, Vanessa de Oliveira Arnoldi Pellegrini, Andrei Nicoli Gebieluca Dabul, Luís Antônio Esmerino, Mario de Oliveira Neto, Rodrigo Tavanelli Hernandes, Fernando Segato, Marcos Pileggi, Igor Polikarpov
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract The escalating prevalence of drug-resistant pathogens not only jeopardizes the effectiveness of existing treatments but also increases the complexity and severity of infectious diseases. Escherichia coli is one the most common pathogens acro
Externí odkaz:
https://doaj.org/article/cb710dd6161943f882078c68a131e08f
Digital Twins (DT) facilitate monitoring and reasoning processes in cyber-physical systems. They have progressively gained popularity over the past years because of intense research activity and industrial advancements. Cognitive Twins is a novel con
Externí odkaz:
http://arxiv.org/abs/2308.15168
Autor:
Agarwal, Aayushya, Pileggi, Larry
Distributed optimization is an essential paradigm to solve large-scale optimization problems in modern applications where big-data and high-dimensionality creates a computational bottleneck. Distributed optimization algorithms that exhibit fast conve
Externí odkaz:
http://arxiv.org/abs/2305.14607